Literature DB >> 26251481

Genome Sequences of Four Staphylococcus capitis NRCS-A Isolates from Geographically Distant Neonatal Intensive Care Units.

H Lemriss1, S Lemriss2, P Martins-Simoes3, M Butin4, L Lahlou1, J-P Rasigade5, A Kearns6, O Denis7, M Deighton8, A Ibrahimi1, F Laurent3, S El Kabbaj9.   

Abstract

Staphylococcus capitis pulsotype NRCS-A was previously reported as a frequent cause of late-onset sepsis in neonatal intensive care units (NICUs) worldwide. Here, we report the whole-genome shotgun sequences of four S. capitis pulsotype NCRS-A strains, CR03, CR04, CR05, and CR09, isolated from Belgium, Australia, the United Kingdom, and France, respectively.
Copyright © 2015 Lemriss et al.

Entities:  

Year:  2015        PMID: 26251481      PMCID: PMC4541270          DOI: 10.1128/genomeA.00501-15

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

Coagulase-negative staphylococci (CoNS) are the most frequently encountered pathogens in neonatal intensive care units (NICUs) (1). However, in the NICU setting, recent studies have indicated that methicillin-resistant Staphylococcus capitis might emerge as a significant pathogen, causing late-onset sepsis (LOS) in several neonatal intensive care units in France, the Netherlands, and Australia (2–4). A study in French NICUs demonstrated the spread of a single clonal population of methicillin-resistant S. capitis (pulsotype NRCS-A) associated with reduced susceptibility to vancomycin, which is the first line of antibiotics used in cases of LOS. Moreover, this clone has also been recently identified in NICUs in Belgium, the United Kingdom, and Australia, suggesting a worldwide distribution (5, 6). In this report, we present the draft genome sequences of four S. capitis (pulsotype NRCS-A) strains (CR03, CR04, CR05, and CR09) isolated from blood cultures from four neonates hospitalized in NICUs in Belgium, Australia, the United Kingdom, and France, respectively. All S. capitis strains were grown in blood agar at 37°C, and genomic DNA was extracted using the PureLink genomic DNA kit (Invitrogen), according to the manufacturer’s recommended protocol. The quantity of DNA was determined using a NanoVue Plus (HVD Lifesciences), and 1 µg of DNA was used to sequence the whole genome of each strain. The 454-shotgun libraries were prepared from the extracted genomic DNA following GS rapid library protocol (Roche 454; Roche). The genome sequence of each S. capitis strain was determined by high-throughput sequencing performed on a Genome Sequencer FLX+ system (454 Life Sciences/Roche) using FLX Titanium reagents, according to the manufacturer’s protocols and instructions. De novo assemblies were performed using the Roche Newbler (version 2.9) software package, and the sequencing results are summarized in Table 1.
TABLE 1

Summary of genome sequencing results in the present study

S. capitis strainCountry sourceReads (Mb)Fold coverage (×)No. of contigsGenome size (bp)G+C content (%)Accession no.
CR03Belgium141,72830312,508,35232.81CTEB01000000
CR04Australia132,28030382,512,28932.80CTEM01000000
CR05United Kingdom139,56931392,543,91732.84CTEO01000000
CR09France132,20530342,490,45832.82CTEL01000000
Summary of genome sequencing results in the present study An automatic syntactic and functional annotation of the draft genome was performed using the MicroScope platform pipeline (7, 8). The syntactic analysis combines a set of programs, including AMIGene (9), tRNAscan-SE (10), RNAmmer (11), Rfam scan (12), and Prodigal software (13) to predict genomic objects that are mainly coding sequences (CDSs) and RNA genes. More than 20 bioinformatics methods were used for functional and relational analyses. The homology search was performed in the generalist databank UniProt (14) and in more specialized databases, such as COG (15), InterPro (16), PRIAM profiles for enzymatic classification (17), prediction of protein localization using TMHMM (18), SignalP (19), and PSORTb (20) tools. The chromosome of strain CR03 (ENA accession no. CTEB01000000) contains 2,575 genes, 2,466 coding sequences (CDSs), 4 rRNAs, and 61 tRNAs; the chromosome of strain CR04 (accession no. CTEM01000000) contains 2,566 genes, 2,457 CDSs, 4 rRNAs, and 60 tRNAs; the chromosome of strain CR05 (accession no. CTEO01000000) contains 2,624 genes, 2,508 CDSs, 4 rRNAs, and 60 tRNAs; and the chromosome of strain CR09 (accession no. CTEL01000000) contains 2,540 genes, 2,432 CDSs, 4 rRNAs, and 59 tRNAs.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at the ENA database under the accession numbers listed in Table 1. The versions described in this paper are in the first versions, under BioProject designation no. PRJEB8618.
  19 in total

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Journal:  J Mol Biol       Date:  2004-07-16       Impact factor: 5.469

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6.  Prodigal: prokaryotic gene recognition and translation initiation site identification.

Authors:  Doug Hyatt; Gwo-Liang Chen; Philip F Locascio; Miriam L Land; Frank W Larimer; Loren J Hauser
Journal:  BMC Bioinformatics       Date:  2010-03-08       Impact factor: 3.169

7.  Vancomycin heteroresistance in bloodstream isolates of Staphylococcus capitis.

Authors:  Danaë D'mello; Andrew J Daley; Muhammad Shihab Rahman; Yue Qu; Suzanne Garland; Christopher Pearce; Margaret A Deighton
Journal:  J Clin Microbiol       Date:  2008-07-02       Impact factor: 5.948

8.  MaGe: a microbial genome annotation system supported by synteny results.

Authors:  David Vallenet; Laurent Labarre; Zoé Rouy; Valérie Barbe; Stéphanie Bocs; Stéphane Cruveiller; Aurélie Lajus; Géraldine Pascal; Claude Scarpelli; Claudine Médigue
Journal:  Nucleic Acids Res       Date:  2006-01-10       Impact factor: 16.971

9.  The Universal Protein Resource (UniProt) 2009.

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10.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

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